Chen Qubo, Huang Xiaoting, Zhang Haiyan, Jiang Xuanting, Zeng Xuan, Li Wanhua, Su Hairong, Chen Ying, Lin Fengye, Li Man, Gu Xiangyu, Jin Huihui, Wang Ruohan, Diao Dechang, Wang Wei, Li Jin, Wei Sufen, Zhang Weizheng, Liu Wofeng, Huang Zhiping, Deng Yusheng, Luo Wen, Liu Zuofeng, Zhang Beiping
State Key Laboratory of Dampness Syndrome of Chinese Medicine, Biological Resource Center, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China.
Medical Research Center, Huazhong University of Science and Technology Union Shenzhen, Shenzhen, China.
J Oral Microbiol. 2024 Apr 26;16(1):2344278. doi: 10.1080/20002297.2024.2344278. eCollection 2024.
Tongue coating microbiota has aroused particular interest in profiling oral and digestive system cancers. However, little is known on the relationship between tongue coating microbiome and colorectal cancer (CRC).
Metagenomic shotgun sequencing was performed on tongue coating samples collected from 30 patients with CRC, 30 patients with colorectal polyps (CP), and 30 healthy controls (HC). We further validated the potential of the tongue coating microbiota to predict the CRC by a random forest model.
We found a greater species diversity in CRC samples, and the nucleoside and nucleotide biosynthesis pathway was more apparent in the CRC group. Importantly, various species across participants jointly shaped three distinguishable fur types.The tongue coating microbiome profiling data gave an area under the receiver operating characteristic curve (AUC) of 0.915 in discriminating CRC patients from control participants; species such as , and aided differentiation of CRC patients from healthy participants.
These results elucidate the use of tongue coating microbiome in CRC patients firstly, and the fur-types observed contribute to a better understanding of the microbial community in human. Furthermore, the tongue coating microbiota-based biomarkers provide a valuable reference for CRC prediction and diagnosis.
舌苔微生物群已引起人们对口腔和消化系统癌症特征分析的特别关注。然而，关于舌苔微生物组与结直肠癌（CRC）之间的关系却知之甚少。
对从30例CRC患者、30例大肠息肉（CP）患者和30例健康对照（HC）收集的舌苔样本进行宏基因组鸟枪法测序。我们进一步通过随机森林模型验证了舌苔微生物群预测CRC的潜力。
我们发现CRC样本中的物种多样性更高，并且核苷和核苷酸生物合成途径在CRC组中更为明显。重要的是，不同参与者的各种物种共同形成了三种可区分的舌苔类型。舌苔微生物组分析数据在区分CRC患者与对照参与者时，受试者工作特征曲线（AUC）下面积为0.915；诸如 、 和 等物种有助于CRC患者与健康参与者的区分。
这些结果首先阐明了舌苔微生物组在CRC患者中的应用，观察到的舌苔类型有助于更好地理解人类中的微生物群落。此外，基于舌苔微生物群的生物标志物为CRC的预测和诊断提供了有价值的参考。
